The pyMOR development team is happy to announce the release of version 2019.2 of pyMOR

The highlights of the new pyMOR version are:

– Improved model and reductor design makes pyMOR easier to extend.
– Extended VectorArray interface with generic complex number support.
– Improved and extended system-theoretic MOR methods.
– Builtin support for model outputs and parameter sensitivities.

The full release notes can be found here.

pyMOR is a software library for building model order reduction
applications with the Python programming language. Implemented
algorithms include reduced basis methods for parametric linear and
non-linear problems, as well as system-theoretic methods such as
balanced truncation or IRKA. All algorithms in pyMOR are formulated in
terms of abstract interfaces for seamless integration with external
PDE solver packages. Moreover, pure Python implementations of finite
element and finite volume discretizations using the NumPy/SciPy
scientific computing stack are provided for getting started quickly.